Papers
Tue 2 Feb 2021
151 papers
- Near-Optimal Offline Reinforcement Learning via Double Variance ReductionOffline RL and imitation learning from data → Offline RL algorithms
- Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach
- Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing
- Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint
- Ranking vs. Classifying: Measuring Knowledge Base Completion Quality
- Transparent FPGA Acceleration with TensorFlow
- Formalising the Use of the Activation Function in Neural Inference
- Single-Shell NODDI Using Dictionary Learner Estimated Isotropic Volume Fraction
- A Living Review of Machine Learning for Particle Physics
- A step toward a reinforcement learning de novo genome assembler
- Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs
- Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym
- Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
- Big Data Analytics Applying the Fusion Approach of Multicriteria Decision Making with Deep Learning Algorithms
- Deep Autoencoder-based Fuzzy C-Means for Topic Detection
- Parametrized Quantum Circuits of Synonymous Sentences in Quantum Natural Language Processing
- A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks
- Recurrent Neural Network for MoonBoard Climbing Route Classification and Generation
- A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows
- Safe Search for Stackelberg Equilibria in Extensive-Form Games
- Automatic analysis of artistic paintings using information-based measures
- Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces
- A Speaker Verification Backend with Robust Performance across Conditions
- Ansatz-Independent Variational Quantum Classifier
- The Multilingual TEDx Corpus for Speech Recognition and Translation
- Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
- Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks
- Vehicle trajectory prediction in top-view image sequences based on deep learning method
- Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles
- FedProf: Selective Federated Learning with Representation Profiling
- Truly Sparse Neural Networks at Scale
- Majorizing Measures, Sequential Complexities, and Online Learning
- A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds
- Apollo: Transferable Architecture Exploration
- Initial condition assessment for reaction-diffusion glioma growth models: A translational MRI/histology (in)validation study
- Generacion de voces artificiales infantiles en castellano con acento costarricense
- Exact Langevin Dynamics with Stochastic Gradients
- From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images
- Report of the Workshop on Program Synthesis for Scientific Computing
- Agent Incentives: A Causal Perspective
- Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
- Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization
- Capacity and quantum geometry of parametrized quantum circuits
- Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games
- Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
- SPEAK WITH YOUR HANDS Using Continuous Hand Gestures to control Articulatory Speech Synthesizer
- OPAM: Online Purchasing-behavior Analysis using Machine learning
- Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory
- Depth separation beyond radial functions
- Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis
- Structure-preserving Gaussian Process Dynamics
- Model-based multi-parameter mapping
- FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
- U-LanD: Uncertainty-Driven Video Landmark Detection
- Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
- The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication
- Size Matters
- Exploiting Raw Images for Real-Scene Super-Resolution
- CTC-based Compression for Direct Speech Translation
- Policy Analysis using Synthetic Controls in Continuous-Time
- Super-klust: Another Way of Piecewise Linear Classification
- Symmetric Sparse Boolean Matrix Factorization and Applications
- A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants
- Real-time detection of uncalibrated sensors using Neural Networks
- Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
- On Robustness of Neural Semantic Parsers
- Occluded Video Instance Segmentation: A Benchmark
- Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis
- WeNet: Production oriented Streaming and Non-streaming End-to-End Speech Recognition Toolkit
- Predicting Propensity to Vote with Machine Learning
- Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review
- Orientation Convolutional Networks for Image Recognition
- Metrics and continuity in reinforcement learning
- Clickbait Headline Detection in Indonesian News Sites using Multilingual Bidirectional Encoder Representations from Transformers (M-BERT)
- Gaussian Experts Selection using Graphical Models
- Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search
- Analyzing dynamical disorder for charge transport in organic semiconductors via machine learning
- Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
- Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
- Drift Estimation with Graphical Models
- MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
- Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition
- Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
- Face Recognition using 3D CNNs
- Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
- An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors
- Bayesian data-driven discovery of partial differential equations with variable coefficients
- Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
- Graph Classification Based on Skeleton and Component Features
- Clustering with Penalty for Joint Occurrence of Objects: Computational Aspects
- Community Detection with a Subsampled Semidefinite Program
- Two Demonstrations of the Machine Translation Applications to Historical Documents
- AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset
- Child-Computer Interaction with Mobile Devices: Recent Works, New Dataset, and Age Detection
- Face Recognition Using Sf3CNN With Higher Feature Discrimination
- Unassisted Noise Reduction of Chemical Reaction Data Sets
- It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation
- Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study
- aura-net : robust segmentation of phase-contrast microscopy images with few annotations
All 151
- AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning
- Stability-Constrained Markov Decision Processes Using MPC
- Generalized Facial Manipulation Detection with Edge Region Feature Extraction
- Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition
- Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges
- An Improved Baseline for Sentence-level Relation Extraction
- Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus
- The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap
- Test-Time Adaptation for Out-of-distributed Image Inpainting
- Recent Advances in Adversarial Training for Adversarial Robustness
- Mining Feature Relationships in Data
- Subdimensional Expansion for Multi-objective Multi-agent Path Finding
- Hardware-efficient Residual Networks for FPGAs
- Graph Coarsening with Neural Networks
- Modular approach to data preprocessing in ALOHA and application to a smart industry use case
- QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning
- Fast Exploration of Weight Sharing Opportunities for CNN Compression
- Bit Error Tolerance Metrics for Binarized Neural Networks
- Benchmarking Quantized Neural Networks on FPGAs with FINN
- Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT
- Probabilistic Trust Intervals for Out of Distribution Detection
- Neural Data Augmentation via Example Extrapolation
- Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
- Multimodal Attention Fusion for Target Speaker Extraction
- A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection
- When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning
- Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement
- Fake-image detection with Robust Hashing
- Optimal Sequential Detection of Signals with Unknown Appearance and Disappearance Points in Time
- Human-Machine Collaborative Video Coding Through Cuboidal Partitioning
- Stability and Generalization of the Decentralized Stochastic Gradient Descent
- Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss
- Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices
- Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
- Scaling Laws for Transfer
- A Stochastic Time Series Model for Predicting Financial Trends using NLP
- Mobile-end Tone Mapping based on Integral Image and Integral Histogram
- Detection of Racial Bias from Physiological Responses
- GCF-Net: Gated Clip Fusion Network for Video Action Recognition
- Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
- Progressive Localization Networks for Language-based Moment Localization
- Deep Online Fused Video Stabilization
- Predicting student performance using data from an auto-grading system
- Evaluating the Interpretability of Generative Models by Interactive Reconstruction
- MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations
- The impact of external innovation on new drug approvals: A retrospective analysis
- Local Differential Privacy Is Equivalent to Contraction of Eγ-Divergence
- Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
- TinyML for Ubiquitous Edge AI
- PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation
- Time Adaptive Gaussian Model